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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A combined approach for the enhancement and segmentation of mammograms using modified fuzzy C-means method in wavelet domain
Subodh Srivastava, Neeraj Sharma, Sanjay Kumar Singh, et al.
Journal of Medical Physics (2014) Vol. 39, Iss. 3, pp. 169-169
Open Access | Times Cited: 21

Showing 21 citing articles:

Detection and Classification of Cancer from Microscopic Biopsy Images Using Clinically Significant and Biologically Interpretable Features
Rajesh Kumar Dhanaraj, Rajeev Srivastava, Subodh Srivastava
Journal of Medical Engineering (2015) Vol. 2015, pp. 1-14
Open Access | Times Cited: 214
Mammogram segmentation using maximal cell strength updation in cellular automata
J. Anitha, J. Dinesh Peter
Medical & Biological Engineering & Computing (2015) Vol. 53, Iss. 8, pp. 737-749
Closed Access | Times Cited: 41
Non-linear polynomial filters for edge enhancement of mammogram lesions
Vikrant Bhateja, Mukul Misra, Shabana Urooj
Computer Methods and Programs in Biomedicine (2016) Vol. 129, pp. 125-134
Closed Access | Times Cited: 41
A fourth order PDE based fuzzy c- means approach for segmentation of microscopic biopsy images in presence of Poisson noise for cancer detection
Rajesh Kumar Dhanaraj, Subodh Srivastava, Rajeev Srivastava
Computer Methods and Programs in Biomedicine (2017) Vol. 146, pp. 59-68
Closed Access | Times Cited: 26
Detection and classification of normal and abnormal patterns in mammograms using deep neural network
R. M. Suresh, A. Nagaraja Rao, B. Eswara Reddy
Concurrency and Computation Practice and Experience (2019) Vol. 31, Iss. 14
Closed Access | Times Cited: 22
Automated and effective content-based mammogram retrieval using wavelet based CS-LBP feature and self-organizing map
Vibhav Prakash Singh, Rajeev Srivastava
Journal of Applied Biomedicine (2017) Vol. 38, Iss. 1, pp. 90-105
Closed Access | Times Cited: 24
Restoration and enhancement of breast ultrasound images using extended complex diffusion based unsharp masking
Abhinav Kumar, Subodh Srivastava
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2021) Vol. 236, Iss. 1, pp. 12-29
Closed Access | Times Cited: 17
A skewness reformed complex diffusion based unsharp masking for the restoration and enhancement of Poisson noise corrupted mammograms
Abhinav Kumar, Pradeep Kumar, Subodh Srivastava
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103421-103421
Closed Access | Times Cited: 16
Anisotropic Diffusion Based Unsharp Masking and Crispening for Denoising and Enhancement of MRI Images
Ravi Kumar, Abhinav Kumar, Subodh Srivastava
(2020)
Closed Access | Times Cited: 17
Denoising of Poisson Corrupted Micro Biopsy Image Using Modified Fourth Order Partial Differential Equation
Prem Chand Yadava, Abhinav Kumar, Subodh Srivastava
Lecture notes in electrical engineering (2024), pp. 601-609
Closed Access | Times Cited: 1
A Survey on the Analysis of Segmentation Techniques in Mammogram Images
M. P. Sukassini, T. Velmurugan
Indian Journal of Science and Technology (2015) Vol. 8, Iss. 22
Open Access | Times Cited: 13
Fuzzy c-means Segmentation on Enhanced Mammograms Using CLAHE and Fourth Order Complex Diffusion
M. Mohan, Lekshmi Priya T., Lekha S. Nair
(2020), pp. 647-651
Closed Access | Times Cited: 8
Microscopic Biopsy Image Segmentation Using Hybrid Color K-Means Approach
Rajesh Kumar Dhanaraj, Rajeev Srivastava, Subodh Srivastava
International Journal of Computer Vision and Image Processing (2017) Vol. 7, Iss. 1, pp. 79-90
Closed Access | Times Cited: 3
Improved Non-Linear Polynomial Filters for Contrast Enhancement of Breast Tumors
Vikrant Bhateja, Mukul Misra, Shabana Urooj, et al.
Smart innovation, systems and technologies (2016), pp. 461-468
Closed Access | Times Cited: 2
A Machine Learning Approach for Detection of Breast Cancer in Women Using Advanced GLCM
L. Kanya Kumari, B. N. Jagadesh
Lecture notes in electrical engineering (2023), pp. 89-100
Closed Access | Times Cited: 1
Analysis of Different Fuzzy C-Means Membership Functions for the Design of CAD Tool of Early Breast Cancer Detection
Guddu Kumar, Niharika Kulshrestha, Subodh Srivastava
SSRN Electronic Journal (2019)
Closed Access | Times Cited: 2
A computer-aided diagnosis system for breast cancer molecular subtype prediction in mammographic images
Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel‐Nasser, et al.
Elsevier eBooks (2021), pp. 153-178
Closed Access | Times Cited: 2
A Leukocyte image fast scanning based on max–min distance clustering
Yapin Wang, Yiping Cao
Journal of Innovative Optical Health Sciences (2015) Vol. 09, Iss. 06, pp. 1650022-1650022
Open Access
Wavelets in the Breast Cancer Detection and Diagnosis: A Review
Armin Kobilica, Hamzah Luqman, Emad Ramadan
2017 9th IEEE-GCC Conference and Exhibition (GCCCE) (2017), pp. 1-9
Closed Access
Non-Linear Polynomial Filters for Edge Enhancement of Mammograms
Vikrant Bhateja, Mukul Misra, Shabana Urooj
Studies in computational intelligence (2019), pp. 163-197
Closed Access
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